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@@ -205,7 +205,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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- "# Drop columns representing URL's or containing way too many missing values (>90% missing)\n",
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+ "# Drop columns representing URLs or containing too many missing values (>90% missing)\n",
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"drop_cols = ['investor_permalink', 'company_permalink', 'investor_category_code']\n",
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"keep_cols = chunk.columns.drop(drop_cols)"
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]
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@@ -656,7 +656,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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- "## Loading Chunks Into SQLite"
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+ "## Loading Chunks into SQLite"
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]
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},
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{
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@@ -690,7 +690,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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- "version": "3.8.2"
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+ "version": "3.8.5"
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}
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},
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"nbformat": 4,
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darinbradley